Azure Databricks vs Counter
Overview
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Detailed Comparison
Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service. | It is an open-source web analytics tool that is made simple and privacy-friendly. It collects only aggregated data. This requires cheaper database queries and considerably less data is saved to the database. |
Optimized Apache Spark environment;
Autoscale and auto terminate;
Collaborative workspace;
Optimized for deep learning;
Integration with Azure services;
Support for multiple languages and libraries | Counts daily unique visitors; Know your referrers; Free and privacy friendly analytics service for everyone |
Statistics | |
GitHub Stars - | GitHub Stars 979 |
GitHub Forks - | GitHub Forks 45 |
Stacks 252 | Stacks 112 |
Followers 396 | Followers 121 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Azure Databricks, Counter?
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Mixpanel
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Piwik
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Clicky
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Plausible
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Databricks
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
userTrack
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Quickmetrics
It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.
Matomo
It is a web analytics platform designed to give you the conclusive insights with our complete range of features. You can also evaluate the full user-experience of your visitor’s behaviour with its Conversion Optimization features, including Heatmaps, Sessions Recordings, Funnels, Goals, Form Analytics and A/B Testing.
Maze
Maze empowers product and marketing teams to test anything from prototypes to copy, or round up user feedback—all in one place. Rapidly collect user insights across teams and create better user experiences, together.
